Work stress, overcommitment personality and alcohol consumption based on the Effort-Reward Imbalance model: A population-based cohort study.

Work stress has been extensively supported to predict health outcomes like health behaviors. Evidence has linked work stress and personality independently to health, but the interrelationships between work stress and personality and their joint effects on health might deserve more attention in research. This study attempts to integrate recent developments in psychological research (diverse roles of personality in stress processes) into the well-established Effort-Reward Imbalance (ERI) model for work stress. Based on the ERI model, this population-based cohort study aims to investigate the relationships between work stress, personality and alcohol consumption; it particularly focuses on potential roles of overcommitment (OC) personality in ERI-drinking relations, including modifying, antecedent, mediator or direct effects. This two-wave cohort study was conducted in population samples of 3782 men and 3731 women (aged 45-69 years) from Czech Republic, Poland and Russia. Alcohol consumption was assessed by three drinking outcomes: binge drinking, heavy drinking and problem drinking. To assess modifying effect of OC in ERI-drinking relations, logistic regression was used. To assess antecedent or mediator role of OC in ERI-drinking relations, path analysis with the autoregressive and cross-lagged model was conducted. The results showed that OC had no significantly modifying effect in ERI-drinking relations. OC and ERI might have bidirectional relationships in the average follow-up period of 3.5 years; the effect of OC on ERI was remarkably stronger than the reversed causation. Antecedent role of OC in ERI-drinking relationship was significant, but mediator role of OC was not. In conclusion, our findings imply that "antecedent role" of OC in ERI-drinking relations is significant and promising as a potential target for individual intervention; future interventions are suggested to identify and target potential cognitive-behavioral mechanisms via which personality might influence work stress and subsequently health behaviors.

Effort-reward imbalance at work, over-commitment personality and diet quality in Central and Eastern European populations.

The aims of this study were to investigate the associations between work stress defined by the effort-reward imbalance (ERI) model and diet quality and to examine the potential role of over-commitment (OC) personality in ERI-diet relationships. A cross-sectional study was conducted in random population samples of 6340 men and 5792 women (age 45-69 years) from the Czech Republic, Russia and Poland. Dietary data were collected using FFQ. The healthy diet indicator (HDI) was constructed using eight nutrient/food intakes (HDI components) to reflect the adherence to WHO dietary guideline. The extent of imbalance between effort and reward was measured by the effort:reward (ER) ratio; the effort score was the numerator and the reward score was multiplied by a factor adjusting for unequal number of items in the denominator. Logistic regression and linear regression were used to assess the associations between exposures (ER ratio and OC) and outcomes (HDI components and HDI) after adjustment for confounders and mediators. The results showed that high ER ratio and high OC were significantly associated with unhealthy diet quality. For a 1-SD increase in the ER ratio, HDI was reduced by 0·030 and 0·033 sd in men and women, and for a 1-SD increase in OC, HDI was decreased by 0·036 and 0·032 sd in men and women, respectively. The modifying role of OC in ERI-diet relationships was non-significant. To improve diet quality at workplace, a multiple-level approach combining organisational intervention for work stress and individual intervention for vulnerable personality is recommended.

Work stress and subsequent risk of internet addiction among information technology engineers in Taiwan.

Work stress, as defined by the Demand-Control-Support (DCS) model and the Effort-Reward Imbalance (ERI) model, has been found to predict risks for depression, anxiety, and substance addictions, but little research is available on work stress and Internet addiction. The aims of this study are to assess whether the DCS and ERI models predict subsequent risks of Internet addiction, and to examine whether these associations might be mediated by depression and anxiety. A longitudinal study was conducted in a sample (N=2,550) of 21-55 year old information technology engineers without Internet addiction. Data collection included questionnaires covering work stress, demographic factors, psychosocial factors, substance addictions, Internet-related factors, depression and anxiety at wave 1, and the Internet Addiction Test (IAT) at wave 2. Ordinal logistic regression was used to assess the associations between work stress and IAT; path analysis was adopted to evaluate potentially mediating roles of depression and anxiety. After 6.2 months of follow-up, 14.0% of subjects became problematic Internet users (IAT 40-69) and 4.1% pathological Internet users (IAT 70-100). Job strain was associated with an increased risk of Internet addiction (odds ratio [OR] of having a higher IAT outcome vs. a lower outcome was 1.53); high work social support reduced the risk of Internet addiction (OR=0.62). High ER ratio (OR=1.61) and high overcommitment (OR=1.68) were associated with increased risks of Internet addiction. Work stress defined by the DCS and ERI models predicted subsequent risks of Internet addiction.

Job stress models, depressive disorders and work performance of engineers in microelectronics industry.

OBJECTIVES: Microelectronic engineers are considered valuable human capital contributing significantly toward economic development, but they may encounter stressful work conditions in the context of a globalized industry. The study aims at identifying risk factors of depressive disorders primarily based on job stress models, the Demand-Control-Support and Effort-Reward Imbalance models, and at evaluating whether depressive disorders impair work performance in microelectronics engineers in Taiwan. METHODS: The case-control study was conducted among 678 microelectronics engineers, 452 controls and 226 cases with depressive disorders which were defined by a score 17 or more on the Beck Depression Inventory and a psychiatrist's diagnosis. The self-administered questionnaires included the Job Content Questionnaire, Effort-Reward Imbalance Questionnaire, demography, psychosocial factors, health behaviors and work performance. Hierarchical logistic regression was applied to identify risk factors of depressive disorders. Multivariate linear regressions were used to determine factors affecting work performance. RESULTS: By hierarchical logistic regression, risk factors of depressive disorders are high demands, low work social support, high effort/reward ratio and low frequency of physical exercise. Combining the two job stress models may have better predictive power for depressive disorders than adopting either model alone. Three multivariate linear regressions provide similar results indicating that depressive disorders are associated with impaired work performance in terms of absence, role limitation and social functioning limitation. CONCLUSIONS: The results may provide insight into the applicability of job stress models in a globalized high-tech industry considerably focused in non-Western countries, and the design of workplace preventive strategies for depressive disorders in Asian electronics engineering population.